Geodesic Vulnerability Approach for Identification of Critical Buses in Power Systems

Beyza, Jesus; García-Paricio, Eduardo; Ruiz, Hector F.; Yusta, José M.

doi:10.35833/mpce.2018.000779

Cited by 15 publications

(5 citation statements)

References 46 publications

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“…A similar approach is proposed in [17], where also critical buses are identified, using a geodesic vulnerability index. In [18], the authors propose a novel measurement to quantify the robustness of power grids under outages by means of a network hierarchy evolution analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Vulnerability Analysis to Maximize the Resilience of Power Systems Considering Demand Response and Distributed Generation

2021

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Electric power systems are subject to failures, due to both deliberate and fortuitous events. This paper addresses the first case in which a disruptive agent aims at maximizing the damage to the network (expressed through the total cost of operation), while the system operator takes the necessary measures to mitigate the effects of this attack. The interaction between these two agents is modeled by means of a bi-level optimization problem. On one hand, the disruptive agent is positioned in the upper-level optimization problem and must decide which elements to render out of service (lines and generators), given a limited destructive budget. On the other hand, the system operator, located in a lower-level optimization problem, reacts to the attack by deploying mitigation measures in order to minimize cost overruns in system operation. Based on the aforementioned dynamic, this paper proposes a novel approach to maximize the resiliency of the power system under intentional attacks through the implementation of distributed energy resources (DERs), namely, distributed generation (DG) and demand response (DR). Three metrics are proposed to assess resilience by assigning DERs in islands generated by the destruction of lines and generators. The results obtained in a didactic 5-bus test system and the IEEE RTS-24 bus test system demonstrate the applicability and effectiveness of the proposed methodology.

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Section: Literature Reviewmentioning

confidence: 99%

Vulnerability Analysis to Maximize the Resilience of Power Systems Considering Demand Response and Distributed Generation

2021

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“…To further illustrate the validity and rationality of the BTE method proposed in this paper, we select the random matrix theory and entropy theory method(RME) [24] and geodesic vulnerability approach(GVA) [6] in the vulnerable nodes identification algorithm to be compared with our methods. We show the comparison results of the vulnerable nodes on IEEE-39 Bus system in table 1.…”

Section: Example Simulation 41 Ieee 39 Bus Systemmentioning

confidence: 99%

“…At present, power system vulnerability evaluation can be roughly divided into two categories. The first is certainty evaluation methods based on the determined network structure, loads and faults, including the transient stability analysis methods, brittleness theory and complex network theory, etc Jesus Beyza et al proposed a geodesic vulnerability index to identify the critical nodes in power systems [6]. Zhuo-yang Wang et al proposed an innovative model based on the power flows, one of the most important characteristics in a power system, to analyze the power grid vulnerability [7].…”

Section: Introductionmentioning

confidence: 99%

Vulnerability of high-speed rail grid-connected system on branch potential energy transfer entropy

Wang

Xiao

et al. 2021

Phys. Scr.

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With the spurt of the high-speed railway construction, vulnerability analysis of the high-speed rail grid-connected system cannot be underestimated, which is helpful to improve the security of power system by preventive effectively. Therefore, we propose a vulnerability evaluation method for the uncertain high-speed rail grid-connected system combining branch potential energy function and information entropy together. Firstly, we construct a probability model of the high-speed rail loads by the nonparametric kernel density estimation method according to the measured data of traction substation. Secondly, we establish a power system vulnerability evaluation model based on the branch potential energy transfer entropy considering the power system state variables such as voltage magnitudes, voltage phase angles and power flows. Finally, the simulations on the IEEE-39 bus system and an actual power system in China show that the transmission line connecting the two regions is more vulnerable subjected to the influence of the high-speed rail loads, and the grid-connected points of the high-speed rail loads close to the generator help to reduce the output of the balance generator. These provides auxiliary suggestions for the rationalization of grid-connected location of high-speed rail load, and has certain practical application values.

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“…From the perspective of power grid operation, the development of methods to identify vulnerable nodes primarily involves analyzing changes in the power system's operations. Reference [9] conducted an assessment of power system flow techniques and identified vulnerable nodes by utilizing vulnerability indices. A study conducted by [10] assessed each node by defining highly influential (HI) nodes and combining coupling value and risk indices.…”

Section: Introductionmentioning

confidence: 99%

Vulnerable node identification method for distribution networks based on complex networks and improved TOPSIS theory

Jiang,

Zhang,

Xue

et al. 2023

IET Generation Trans & Dist

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A method for identifying vulnerable nodes in distribution networks is proposed, which is based on complex networks and optimized TOPSIS. This method aims to address the issues of one‐sided evaluation indicators and inaccurate indicator weights that are present in existing methods for identifying vulnerable nodes in distribution networks. Based on the theory of complex networks, a comprehensive set of vulnerability indicators for distribution network nodes is constructed by considering both the topology structure and system operation status of the distribution network. The TOPSIS comprehensive evaluation model for optimization is proposed to enhance the selection process of optimal and worst indicator values. The advantages and disadvantages of each indicator are characterized using Mahalanobis distance. The calculation of proximity is optimized by establishing a virtual negative ideal solution, which makes the identification of vulnerable nodes more reasonable. The simulation results demonstrate that this method is more effective in identifying vulnerable nodes in the power grid compared to traditional methods, and has significant practical applications.

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Geodesic Vulnerability Approach for Identification of Critical Buses in Power Systems

Cited by 15 publications

References 46 publications

Vulnerability Analysis to Maximize the Resilience of Power Systems Considering Demand Response and Distributed Generation

Vulnerability Analysis to Maximize the Resilience of Power Systems Considering Demand Response and Distributed Generation

Vulnerability of high-speed rail grid-connected system on branch potential energy transfer entropy

Vulnerable node identification method for distribution networks based on complex networks and improved TOPSIS theory

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